Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology.
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| Title: | Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. |
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| Authors: | Tanigawa Y; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA., Li J; Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA., Justesen JM; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Horn H; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Aguirre M; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA., DeBoever C; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Genetics, Stanford University, Stanford, CA, USA., Chang C; Grail, Inc., Menlo Park, CA, USA., Narasimhan B; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Lage K; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Institute for Biological Psychiatry, Mental Health Center Sct. Hans, University of Copenhagen, Roskilde, Denmark., Hastie T; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Park CY; Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA., Bejerano G; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.; Department of Developmental Biology, Stanford University, Stanford, CA, USA.; Department of Computer Science, Stanford University, Stanford, CA, USA., Ingelsson E; Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA. eriking@stanford.edu.; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA. eriking@stanford.edu., Rivas MA; Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, CA, USA. mrivas@stanford.edu. |
| Source: | Nature communications [Nat Commun] 2019 Sep 06; Vol. 10 (1), pp. 4064. Date of Electronic Publication: 2019 Sep 06. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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